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基于~1H-NMR代谢组学技术的野生与栽培太子参化学成分分析 被引量:13

~1H-NMR Based Metabolomic Analysis of Chemical Compositions in Cultivated and Wild Pseudostellariae Radix
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摘要 目的探讨不同生态型太子参代谢物合成积累的差异。方法采用~1H-NMR代谢组学技术结合多元统计分析对野生与栽培太子参中化学成分进行比较分析,并找出差异成分。结果共指认出35个化学成分;多元统计分析显示,野生与栽培太子参样品能明显分开,其中差异显著的化学成分有15个,其中丙氨酸、谷氨酸、琥珀酸、γ-氨基丁酸、乙酰乙酸、乳酸、亚油酸、苯丙氨酸、异亮氨酸、谷氨酰胺、赖氨酸、蔗糖的相对含量在野生太子参中较高;富马酸、棉子糖、木糖的相对含量在栽培太子参中较高。结论本实验为揭示不同生态型太子参代谢物合成积累的变化规律及其药材的品质形成机制提供基础资料。 OBJECTIVE To investigate the differences in the accumulation and biosynthesis of metabolites in different lactic acid of Pseudostellariae Radix. METHODS ~1H-NMR based metabolomic approach combined with multivariate statistical analysis was used to investigate the chemical compositions and find the different metabolites in cultivated Pseudostellariae Radix and its wild-type.RESULTS Thirty-five metabolites were identified in the ~1H-NMR spectra,and 15 of which showed remarkable differences. The multivariate statistical analysis showed that the cultivated Pseudostellariae Radix and its wild-type could be distinguished obviously. The contents of isoleucine,linolenic acid,lactic acid,alanine,lysine,glutamic acid,glutamine,acetoacetic acid,succinic acid,γ-aminobutyric acid,phenylalanine,and sucrose in cultivated Pseudostellaria heterophylla were lower than its wild-type,while the cultivated Pseudostellariae Radix contained more xylose,raffinose,and fumaric acid. CONCLUSION This study will provide basic information for exploring the quality formation mechanism and revealing the accumulation and biosynthesis of metabolites in different ecotypes of Pseudostellariae Radix.
作者 华愉教 侯娅 王胜男 邹立思 刘训红 谷巍 罗益远 刘娟秀 HUA Yu-jiao HOU Ya WANG Sheng-nan ZOU Li-si LIU Xun-hong GU Wei LUO Yi-yuan LIU Juan-xiu(Nanfing University of Chinese Medicine, Nanfing 210023, China)
机构地区 南京中医药大学
出处 《中国药学杂志》 CAS CSCD 北大核心 2017年第4期272-276,共5页 Chinese Pharmaceutical Journal
基金 国家自然科学基金资助项目(81274016 81473312) 江苏高校优势学科建设工程资助项目(ysxk-2014)
关键词 太子参 野生 栽培 丙氨酸 谷氨酸 1H-NMR 多元统计分析 Pseudostellariae Radix wild type cultivated type alanine glutamic acid 1H-NMR multivariate statistical analysis
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